Show HN: A SQLite graph that captures why AI-generated code exists

Category: devtools

Tags: sqlite, ai-agents, engineering-memory, traceability, graph

Score: 6.5/10 (Innovation: 7, Technical: 6, Documentation: 8, Utility: 5)

This project provides a lightweight SQLite graph structure to preserve engineering context and decisions behind AI-generated code, addressing the common problem of lost rationale across coding sessions. It offers an executable reference architecture with importers, policy matching, impact analysis, and handoff exports, making it especially useful for teams using AI coding agents on long-running projects.

Target audience: backend devs, devops, data engineers

Repository: https://github.com/enzoferraripapa-arch/ai-vprocess-ops · Python · MIT

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